CV-Jurgita Juskaite

Jurgita Juskaite CURRICULUM VITAE	+44(0)7513 005 609  juskaite.jurgita@gmail.com London

Summary

A little about me

“Data Scientist with eight years of work experience using data engineering, analytics, machine learning and creative data visualization to solve challenging business problems. Passionate about applying advanced data science methods to create personalised user experience and help shoppers discover products they like.”

My story

Hover on the timeline to see more information about each role

Data science techniques

Data science tools

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Languages I speak

Where I learn data science

English	Lithuanian	Spanish

Things I 

Ballet

Yoga

Theatre

Photography

Travel

Cooking

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Detailed View

Key technical skills

• Ability to manipulate large volumes of data
• Proficiency in SQL
• Strong R programming skills
• Extensive experience with various SAS tools (EG, EM, DI)
• Thorough understanding of end-to-end modelling process: exploratory data analysis, sampling, feature engineering and selection, model validation and comparison
• Extensive experience with statistical analysis techniques and machine learning algorithms (regression, decision trees, clustering, collaborative and content-based recommendation systems)
• Experience deploying models to production
• Good working knowledge of R Shiny, Tableau and data visualisation principles
• Experience in spatial data analysis using ArcGIS, Tableau, and R
• Advanced knowledge of Microsoft Excel and hands-on experience with VBA programming
• Experience with version control tools (Git and Bitbucket)
• Experience working in an agile environment

Professional experience

Senior Data Scientist London
The Very Group Sep 2019 to present

Working closely with a cross-functional personalisation team to identify and deliver projects that will drive email programme value through content personalisation.

• Designed and developed a prototype solution for a content-based product recommendation engine that enhanced personalisation capabilities of our email trigger programme and delivered £360k incremental sales in a 6 week test period;
• Developed and productionised a clothing size prediction algorithm that will allow to improve relevancy of the product-based email campaigns;
• Identified and validated new data sources for more timely and accurate product price information, and developed a process to enable implementation of a price drop notification email. The programme generated £335k incremental sales in a 9 week experiment period with estimated annual benefits of £3.5m;
• Mentored a masters student through CDRC Masters Research Dissertation Programme;
• Supporting and training junior team members throughout the project to help them deliver at their best;
• Assisting with recruitment of new team members by evaluating data challenge assignment and conducting interviews.
  

Data Scientist London
The Very Group Apr 2018 – Aug 2019

Modelling and Optimisation Analyst London
John Lewis Partnership Nov 2015 – Mar 2019

Scoping and developing predictive targeting models using customer transactional and behavioural data to improve personalisation and effectiveness of marketing communication programmes.

• Developed a suit of propensity models to predict customer’s likelihood to shop in thirty different product categories which led to significantly improved email campaign personalisation and increased sales;
• Applied association rule discovery algorithm to create product and brand level recommendations for fashion email campaigns;
• Actively contributed to the development and automation of the modelling processes, model monitoring and performance reporting.

Campaign Analyst London
John Lewis Partnership Jul 2015 – Oct 2015

Supported John Lewis Division through the effective design and delivery of customer insight led marketing communications.

Insight Analyst London
Aimia Jan 2013 – Jun 2015

Worked on the marketing side of Nectar team providing marketing and analytical intelligence to help maximize the benefits of the loyalty programme.

MIS Analyst London
Essence Digital Feb 2011 – Dec 2012

Responsible for maintaining existing, and developing new processes for the daily transfer, import and transformation of marketing performance data combined from disparate sources (ad servers, search engines, client data).

Research Output Researcher, Talent Builder Training Programme Nottingham
University of Nottingham, Information Services Department Oct 2010 – Dec 2010

Education

The University of Nottingham Nottingham
MSc in Economics and Econometrics – 2:1 (Average: 68%) Sep 2009 – Sep 2010

Vilnius University Vilnius, Lithuania
BSc in Economics (Average: 9.4 in ten-grade system) Sep 2005 – Jun 2009

Language skills

• English – Fluent
• Spanish – Intermediate
• Lithuanian – Native

References

Available on request.

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